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Mantis 2 disease forecasting model combines simulation and real-world data

By PulseAugur Editorial · [1 sources] ·

Researchers have developed Mantis 2, a new foundation model for infectious disease forecasting that combines simulated and observational training data. This approach proved particularly effective when local historical data was limited, reducing large forecast errors and improving the anticipation of outbreak peaks. Mantis 2 can forecast up to six variables sixteen weeks in advance and demonstrated superior aggregate probabilistic accuracy across various horizons compared to other models, while also being released publicly for broader use. AI

IMPACT Enhances public health preparedness by providing a more accurate and versatile tool for predicting disease outbreaks.

RANK_REASON The cluster describes a new research paper detailing a novel AI model for disease forecasting. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Mantis 2 disease forecasting model combines simulation and real-world data

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16 / 100
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The cluster describes a new research paper detailing a novel AI model for disease forecasting. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Carson Dudley, Reiden Magdaleno, Yutong Bi, Anthony Valencia, Xiaofeng Liu, Marisa Eisenberg ·

    Universal Infectious Disease Forecasting with Mantis 2

    arXiv:2611.16935v1 Announce Type: new Abstract: Public health agencies need to anticipate how outbreaks will unfold, when they will peak, and how long demand on health services will remain elevated. We previously developed a foundation model, Mantis, which was trained entirely on…

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